PIPELINES_ ERRORS
Warning
SingleStore 9.0 gives you the opportunity to preview, evaluate, and provide feedback on new and upcoming features prior to their general availability. In the interim, SingleStore 8.9 is recommended for production workloads, which can later be upgraded to SingleStore 9.0.
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This view contains detailed information about errors that occurred during extraction, transformation, or loading.
Note
This view contains exhaustive node-level error information that may originate at either a leaf node or aggregator node.ERROR_
entry does not start with LEAF ERROR (<host>:<port>)
.
The following pipeline engine variables are used to control various aspects of pipeline behavior.
-
pipelines_
- controls the amount of time in minutes that a pipeline error is stored on disk.errors_ retention_ minutes -
ingest_
- controls the maximum amount of disk space (MB) that is used to log errors for pipelines.errors_ max_ disk_ space_ mb
information_ schema. PIPELINES_ ERRORS Schema
Column Name |
Description |
---|---|
|
The name of the database associated with the error. |
|
The name of the pipeline associated with the error. |
|
The time of the error event in Unix timestamp format. |
|
Specifies what type of error occurred. |
|
The error code for the error. |
|
The message associated with the error. |
|
Specifies whether the error event was caused by internal or external factors. |
|
The text that may have been outputted during the data transformation. |
|
The text of a |
|
The line number of a |
|
The internal unique identifier for the batch that experienced an error event. |
|
The internal unique identifier for the error event. |
|
The data source’s partition ID for the batch. |
|
Specifies the earliest offset for the batch. |
|
Specifies the latest offset for the batch. |
|
The hostname or host IP address for the leaf node that processed the batch. |
|
The port number for the leaf node that processed the batch. |
|
Specifies the partition ID on a leaf node that processed the batch. |
Last modified: March 4, 2024